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[Help-gsl] Kernel Density Estimator
From: |
Jose Carlos Rubio Ballester |
Subject: |
[Help-gsl] Kernel Density Estimator |
Date: |
Fri, 7 May 2010 16:57:09 +0200 |
Hi,
Does anyone know how can I train an arbitrary density distribution from
training data using a non-parametric method, like a Kernel Density
Estimator?. I see that the former "Goose" library has this feature:
- Kernel density estimation using Epanechnikov, Biweight, Triweight,
Gaussian and Uniform kernels.
However, I don't see anything like that in the GSL documentation. I wonder
if this algorithm is still in the library, and in that case, where can I
find information about how to use it?
Thanks!
- [Help-gsl] Kernel Density Estimator,
Jose Carlos Rubio Ballester <=